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Characteristics of Individuals Afflicted by AIDS-related Mortality in Zambia

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  • Chapoto, Antony
  • Jayne, Thomas S.

Abstract

Studies conducted in Sub-Saharan Africa during the 1980s generally found a positive correlation between socioeconomic characteristics such as education, income, and wealth and subsequent contraction of HIV. However, as the disease has progressed, the relationship between socioeconomic status and HIV contraction may have changed in many areas of Sub Saharan Africa, although there is little hard evidence to support this. This paper seeks to determine the ex ante socioeconomic characteristics of individuals who die between the ages of 15 to 59 years of age, using nationally representative panel data on 18,821 individuals surveyed in 2001 and 2004 in rural Zambia. The findings from this study will help policy-makers and development agencies better understand current transmission pathways of HIV/AIDS, which should help in the formulation of AIDS prevention and mitigation strategies.

Suggested Citation

  • Chapoto, Antony & Jayne, Thomas S., 2005. "Characteristics of Individuals Afflicted by AIDS-related Mortality in Zambia," Food Security Collaborative Working Papers 54472, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    • Handle: RePEc:ags:midcwp:54472
    DOI: 10.22004/ag.econ.54472
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    References listed on IDEAS

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    1. Yamano, Takashi & Jayne, T. S., 2004. "Measuring the Impacts of Working-Age Adult Mortality on Small-Scale Farm Households in Kenya," World Development, Elsevier, vol. 32(1), pages 91-119, January.
    2. Harold Alderman & Jere Behrman & Hans-Peter Kohler & John A. Maluccio & Susan Watkins, 2001. "Attrition in Longitudinal Household Survey Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(4), pages 79-124.
    3. Duncan Thomas & Elizabeth Frankenberg & James P. Smith, 2001. "Lost but Not Forgotten: Attrition and Follow-up in the Indonesia Family Life Survey," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 556-592.
    4. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    5. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    6. Megill, David J., 2004. "Recommendations on Sample Design for Post-Harvest Surveys in Zambia Based on the 2000 Census," Food Security Collaborative Working Papers 54468, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. Mather, David & Donovan, Cynthia & Jayne, Thomas S. & Weber, Michael T. & Chapoto, Antony & Mazhangara, Edward & Bailey, Linda & Yoo, Kyeongwon & Yamano, Takashi & Mghenyi, Elliot W., 2004. "A Cross-Country Analysis of Household Responses to Adult Mortality in Rural Sub-Saharan Africa: Implications For HIV/AIDS Mitigation And Rural Development Policies," Food Security International Development Working Papers 54571, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. Simon Gregson & Heather Waddell & Stephen Chandiwana, 2001. "School education and HIV control in sub-Saharan Africa: from discord to harmony?," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(4), pages 467-485.
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    Cited by:

    1. Omar Mahmoud, Toman & Thiele, Rainer, 2009. "Does AIDS-related mortality reduce per-capita household income? Evidence from rural Zambia," Kiel Working Papers 1530, Kiel Institute for the World Economy (IfW Kiel).
    2. David Mather & Cynthia Donovan & T. S. Jayne & Michael Weber, 2005. "Using Empirical Information in the Era of HIV/AIDS to Inform Mitigation and Rural Development Strategies: Selected Results from African Country Studies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1289-1297.
    3. Mather, David & Donovan, Cynthia & Jayne, Thomas S. & Weber, Michael T. & Chapoto, Antony & Mazhangara, Edward & Mghenyi, Elliot W. & Bailey, Linda & Yoo, Kyeongwon & Yamano, Takashi, 2004. "A Cross-Country Analysis of Household Response to Adult Mortality in Rural Sub-Saharan Africa: Implications for HIV/AIDS Mitigation and Rural Development Policies," Food Security International Development Policy Syntheses 11322, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    4. Hichaambwa, Munguzwe & Tschirley, David L., 2006. "Zambia Horticultural Rapid Appraisal: Understanding the Domestic Value Chains of Fresh Fruits and Vegetables," Food Security Collaborative Working Papers 54476, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    5. Bertrand, Nguenda Anya Saturnin, 2016. "The Socioeconomic Determinants of the Prevalence HIV/AIDS among Women in Cameroon," African Journal of Economic Review, African Journal of Economic Review, vol. 4(2), July.

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